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SOA Advanced SOA Design

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Microservices and software oriented architecture (SOA) are two componentized architectures for software construction. as the cloud computing era has received steam, the extra tremendously granular microservices architecture (MSA) has evolved from the past SOA. Yet each processes stay known. where SOA is commercial enterprise-concentrated, microservices is utility-concentrated.

First we will analyze every of those technologies, then we are going to evaluate and contrasts both.

understanding provider Oriented structure

A SOA is a collection of capabilities that use a messaging middleware component for communications between features. The middleware layer additionally supports interoperability of numerous protocols. capabilities can range in dimension all the means as much as subsystems used commercial enterprise-vast.

SOA is often considered as the most suitable option for integrating disparate methods in a big blended ambiance operating multiple OS, akin to Linux and home windows.

knowing Microservices

In microservices, on the other hand, each and every software is structured as a collection of small capabilities, modeled round a business area. This architecture uses an application programming interface (API) layer in its place of middleware, and protocols are light-weight. Microservices ultimate practices requires developers to build with the API in the forefront of the design.

Microservices work more advantageous for building small, neatly partitioned net-based techniques which provide considerable control to the developer. each carrier is designed to meet a particular aim -- such as a web provider for activating an order or featuring shopping cart features -- and to excel in offering on that goal.

comparing Microservices vs. SOA

SOA and microservices each ease utility building by way of replacing older monolithic structures with more effectively manageable modular accessories. although, SOA and MSA range markedly alongside lines that include regular structure, provider traits, methods to element sharing, database guide, and more.

listed below are some key variations:

prevalent architecture

SOA defines both a company layer, comprising all features within the system, and a purchaser layer, or the element at which consumers akin to human users or different capabilities interact with the system. The business service Bus (ESB) allows for for various factor-to-aspect connections between carrier providers and repair patrons. features can be created with the aid of numerous building groups, however every group needs to be aware about the regular conversation mechanism.

In MSA, having said that, small, unbiased processes talk with each and every different inner enormously granual and agile applications. each carrier is independently deployable, that means that it can also be shut down when now not in use devoid of impacting the whole equipment. MSA additionally makes it easier and sooner to improve new versions of latest functions, suiting this architecture well to DevOps optimum practices. also, capabilities will also be scaled independently, counting on load requirements.

provider qualities

SOA and microservices both depend on features as their main element, yet both architectures range significantly around service traits.

SOA defines 4 simple carrier forms:

SOA's useful services, also called business capabilities, are coarse-grained features used for defining core company operations. practical features are represented via protocols similar to eXtensible Markup Language (XML) and company method Execution Language (BPEL).

enterprise features implement the performance defined by way of enterprise features, the usage of each application features and infrastructure capabilities to meet business requests.

utility functions are great-grained features used simplest inside the context of selected purposes. capabilities may also be invoked via a dedicated consumer interface (UI).

Infrastructure features put in force non-purposeful initiatives like logging, authentication, auditing and security. These services may also be invoked from both software functions or enterprise features.

In distinction, MSA defines best two simple service varieties:

In MSA, practical services help specific enterprise operations. These capabilities are accessed externally and don't seem to be shared with different functions.

As in SOA, MSA's infrastructure capabilities are used to aid tasks reminiscent of logging, auditing, and security. MSA’s infrastructure functions, although, don't seem to be shared with different functions, and are only obtainable internally.

Middleware vs. APIs

SOA's middleware gives many capabilities absent from the API's used for communications between service suppliers and buyers in MSA.

advantages of the middleware layer consist of protocol transformation, message enhancement, and mediation and routing. as a result of MSA doesn't support middleware, and MSA functions are so small and exceptionally purposed, SOA is generally viewed as the most suitable structure for massive and complex business methods.

Database aid

In SOA, all services use the same underlying database. functions customarily aid traditional relational databases.

MSA is also extra agile and flexible during this manner. A database can both be dedicated to a particular microservice or shared among dissimilar microservices. MSAs are additionally extra prone to use more recent nonrelational databases. not like relational databases, which handiest help structured information, nonrelational databases also help semi-structured records comparable to emails and XML files and unstructured facts comparable to Microsoft windows documents, internet pages, social media messages, and video files.

element Sharing

SOA is designed to promote company functionality reuse by means of enhancing component sharing. in reality, part sharing is the main position of SOA's business functions. services are sometimes carried out as comprehensive subsystems. despite the fact, as a result of SOA uses multiple components to satisfy company requests, SOA functions can also be much less productive than microservices.

Microservices, even so, minimizes part sharing via “bounded context." A component and its data are coupled as a single unit with minimal dependencies. An utility is required to entry a persistent records keep by means of a service implementation-offered API.

Contract Decoupling

an incredible tenet of SOA is contract decoupling, which offers the optimum degree of decoupling between carrier issuer and purchaser.

MSA, despite the fact, doesn't assist contract decoupling.

Containers

Containers and microservices are a natural in shape. Containers comparable to Dockers and Linux Containers work quite well with microservices architectures but are used less generally in SOA.

by means of encapsulating a lightweight runtime ambiance for purposes, containers give a consistent application environment as a microservice software strikes throughout the continual construction, checking out, and deployment cycles of DevOps. Containers can be run on each virtual machines (VMs) and physical machines, and with excessive server utilization costs.

internet capabilities

SOA and MSA each give aid for internet services. definitely, some however now not all MSA microservices may also be characterized as net functions.

Like web features, microservices are agnostic to programming languages equivalent to Java, Perl, Ruby, and C++.

remote entry Protocols

SOA architectures typically use elementary Object entry Protocol (soap) and messaging protocols similar to Microsoft Message Queuing (MSMQ) and the open usual superior Message Queing Protocol (AMQP) as their main far off access protocols. however, illustration State transfer (rest) is every now and then used with SOA.

MSA commonly makes use of the more streamlined leisure API, along side AMQP messaging, for faraway access.

Fault Tolerance

SOA's ESB can existing a single factor of failure (SPOF) for the whole device. If one provider slows down, the the ESB can develop into overwhelmed by using requests for that service.

MSA is more fault tolerant. as an instance, a reminiscence leak is one microservice will best have an impact on that specific microservice. different microservices will be in a position to keep on coping with requests.

Threading

SOA is multi-threaded, with extra overheads to address inputs/outputs (IOs).

MSA is single-threaded. despite the fact, microservice architectures customarily include an event loop for managing I/Os.

Systematic adjustments

In SOA, a systematic exchange requires editing the complete gadget.

In MSA, a systematic alternate may also be accomplished by way of growing a brand new provider.

Microservices and SOA related phrases

API: An API helps application construction by means of providing a group of capabilities and processes for having access to data or features of one more application, an OS (operating equipment), or different utility capabilities.

net service: a web service is an API which uses a standardized approach of featuring interoperability between applications for consumers and servers over the internet. an internet service communicates over Hypertext Transport Protocol (HTTP) the usage of technologies that may consist of leisure, cleaning soap, XML, web provider Definition Layer (WSDL), and widespread Description, Description, and Integration (UDDI).

leisure API: A relaxation API is an API which follows the guidelines of relaxation, an architectural fashion now being used to exchange older architectures comparable to cleaning soap as a simpler, faster method of gaining access to internet features. The relaxation API uses Hypertext switch Protocol (HTTP) requests to indicate preferred actions on the web. The leading guidelines of rest are the 4 guidelines of uniform interface for clients and servers: providing entry via components, representing materials through representations, exchanging self-descriptive messages, and connecting substances through links.

Middleware: Middleware is a layer of software dwelling outdoor of the OS offering features to applications which can not be acquired throughout the kernel. It components uniform, high-stage interfaces for building functions which can run interoperably across distinct methods and a collection of commonplace services for making improvements to collaboration between applications. used in SOA but not MSA, middleware hides the heterogeneity of OS, hardware, and protocols in addition to the complexities of disbursed purposes.

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this article discusses the significance of a knowledge features layer built upon an commercial enterprise data integration (EDI)...

platform for carrier-oriented architecture (SOA).

a huge business discovered itself handicapped by means of an ornery snarl of siloed applications that compromised its agility, performance and profitability. Its IT branch was consistently behind agenda and over budget in hand-coding element-to-point connectivity amongst deliver chain, financials, CRM, and other packaged and customized-constructed legacy functions.

The answer: Integrating crucial business approaches and functions by way of adopting a provider-oriented architecture, or SOA. internal IT personnel and consultants engineered a loosely coupled infrastructure, with reusable services according to XML and general net functions protocols corresponding to cleaning soap and WSDL. as soon as the system went live, the CFO ran a pursuits question through his dashboard. The answer came again:

You forgot the information.

it's a playful fiction, of route, but it illustrates the perils of a provider-oriented structure devoid of enterprise information integration (EDI): one that focuses only on the company process interactions and utility interfaces, and neglects the devilish particulars of statistics-degree incompatibility among the many disparate IT programs participating in these approaches, together with varying formats, semantics and hierarchies.

Our hypothetical business based mostly its SOA on a web functions-based enterprise utility integration (EAI) engine. The expertise worked flawlessly in enabling high-level application integration and orchestrating business strategies - but it surely was not designed to take care of the complexities of heterogeneous, inconsistent, dirty information that lie fragmented across the commercial enterprise.

The effect: costly and time-drinking hand-coding to unravel these information inconsistencies in the SOA implementation, consequently violating the very promise of reusability and interoperability it truly is driving the circulate towards SOA. The lacking ingredient in this company's SOA turned into a data functions layer constructed upon an enterprise information integration platform.

The SOA chance

the excitement around SOA has been fast and furious. it's no wonder. organizations recognize an opportunity to lessen the charge of software and middleware construction and speed up time to market by "loosely coupling" siloed purposes the use of open requisites equivalent to Extensible Markup Language (XML), essential Object access Protocol (soap), and internet services Description Language (WSDL).

The frequent adoption of these requisites by IT companies and carriers alike paves how to expose purposes as part-primarily based functions for birth over the net. by means of abstracting the underlying company logic, SOA allows capabilities to be wrapped, re-used, and orchestrated to give each IT and company some distance more desirable responsiveness, flexibility, and velocity of execution.

Many early SOA-based mostly implementations have been developed on EAI, and J2EE- and .web-primarily based middleware, together with message brokers, software servers, and commercial enterprise carrier buses. however more and more, information integration has develop into a prime objective. Some seventy six % of AMR research respondents using or planning to make use of an SOA named method or facts integration because the leading initiative, in accordance with the August 2005 AMR research file, "service-Oriented architecture: Survey Findings on Deployment and Plans for the longer term." The findings replicate a starting to be awareness that a data integration platform can -- and should -- enrich an SOA with sophisticated data features beyond the scope of software integration-centric applied sciences.

In other phrases, to understand the full knowledge of SOA, including unfastened coupling and reusability, it's critical that customer application access company-central data wherever is resides, in whatever kind it requires, in a constant and correct manner.

equipped for top time: carrier-Oriented records integration

EDI applied sciences are able to assist SOA develop into a transformative force for IT. during the last a number of years, information EDI know-how has been stronger with built-in assist for XML transformations, internet functions protocols, JDBC connectivity, and Java Message provider (JMS) connectivity. superior information integration systems also characteristic metadata capabilities driving the core of their development and run-time infrastructure. This metadata provides an abstraction of the company common sense from the technical implementation, and makes it possible for them to deliver superior facts integration performance over a data features layer to the myriad components within the SOA.

For too a long time, EDI initiatives, undertaken without the groundwork of an information services layer, have resulted in an extra proliferation of the siloed programs they had been supposed to combine. for instance, a retailer might have deployed an extraction, transformation, and loading (ETL) tool to synchronize aspect-of-sale records from retail outlets into an SAP financials application. A 2d illustration of the tool may serve to circulate SAP financials advice right into a DB2 facts warehouse for evaluation. And a third instance might work on the front end of the price chain to feed product procurement information to an operational data store.

So whereas the retailer could have performed EDI among targeted purposes, or not it's nonetheless a couple of steps faraway from realizing a fluid, end-to-conclusion information ecosystem. SOA removes these boundaries of siloed development.

In a modular SOA, a data integration platform serves as yet another component-based mostly service. Its performance can also be packaged and reused throughout distinct tasks to in the reduction of construction and deployment costs. it can assist an organization leverage records property at the moment locked in mainframe, packaged, and homegrown techniques through open necessities. it may possibly eliminate the should hand-code facts integration connectivity, and enables agencies to recognize quick time to price.

it's what SOA presents EDI technology. Now let's seem at the flip side - what EDI does for SOA.

information components and capabilities in an SOA

essentially the most superior SOA deployments will take advantage of each EAI and EDI technologies. SOA gives an excellent framework for these two technologies to enrich one one more, with EAI managing transactions and strategies among applications, and the EDI platform performing the atomic-degree facts processing it is often past the scope of EAI methods.

really, a standard use case is the place a company deploys an EAI bus and an EDI platform in a SOA to help grasp records administration initiatives, reminiscent of client facts integration (CDI). The EAI bus drives company approaches and assessments consumer statistics within the master records repository. The EDI platform creates the grasp statistics repository, and populates again-conclusion ERP techniques with up to date client tips converted to the applicable format and semantic definition. In strategizing options and objectives for an SOA, companies may still determine and take into account the purposeful distinctions between the two know-how units. Let's take a look at three practical accessories which are the unique province of EDI expertise - regular records entry, a metadata repository and services, and an EDI engine.

prevalent information access: Scope of information

EDI extends the attain of the SOA and its constituent purposes into almost any information source. Prebuilt connectivity and visible mapping environment offers IT architects and developers with a mechanism to tap into advice from a number of sources, including packaged and homegrown applications reminiscent of SAP, mainframe and midrange techniques similar to IMS and VSAM, relational databases comparable to Oracle and Sybase, and unstructured and semi-structured statistics.

organizations can use EDI to attain into diverse programs to fetch facts, cleanse and seriously change it into the applicable formats and semantic definitions, and propagate it across numerous allotted programs. Its provider may be invoked via, as an instance, an internet client order software to trigger experience-driven, examine/write facts updates throughout financials, manufacturing, and distribution in close-real time.

Metadata repository and functions: which means of statistics

A metadata repository provides the SOA with an underlying groundwork to bear in mind the lineage of information, the ripple results of adjustments, and records-connected deficiencies in the architecture. The repository provides a data interplay framework to store and manage facts models, transformations, workflows, and dependencies- metadata describes the statistics good judgment and its which means. through metadata capabilities, EDI technology gives a method to reconcile information semantics across disparate programs, improve reporting, auditing, and statistics governance and allow reuse to streamline development and speed up deployment.

Metadata is also key in equipping organizations with an auditable record of facts lineage masking all information substances, offering an important tool in meeting the compliance necessities of Sarbanes-Oxley and different rules.

EDI engine: value of records

at the core of EDI is an engine that gives organizations a bunch of options for moving, integrating, and delivering records amongst various consumers in a SOA. Its flexibility is important in letting IT authorities architect a gadget optimized for "correct time" statistics birth, together with high-quantity batch statistics flow, close-real time trap and flow and adjusted statistics capture - handiest information up to date for the reason that last carrier invocation.

So those are the core EDI add-ons in an SOA. Now let's investigate the features and benefits that they deliver for an SOA - statistics profiling, cleansing, transformation, move, and auditing.

information profiling: statistics profiling is the system of assessing and understanding the content, first-class, and constitution of commercial enterprise facts. it is a vital step in reconciling semantic variations in typical business vocabulary akin to consumer, address, and product that varies among purposes, and which, if unaddressed, outcomes in contradictory counsel throughout the enterprise.

statistics cleaning: once facts is profiled, an EDI platform can execute records cleaning features to be sure the validity and consistency of assistance. It standardizes identify, address, and other values, and resolves lacking information fields, parses statistics points, and corrects poorly formatted or conflicting records.

records transformation: information transformation features enable information to be changed from one form to one other to enable reconciliation between records elements dwelling in different counsel sources. The transformation functions leverage pre-built and customised mappings that keep in mind complex data hierarchies and relationships.

records move: EDI offers bendy mechanisms for "appropriate-time" data start in an SOA, together with excessive-extent bulk information circulation, close-real time capabilities, facts federation, and adjusted statistics catch that handles simplest tips that has been updated to speed up load times and reduce operational have an impact on.

information auditing: EDI provides in-depth lineage of records - when it become changed, how, via whom, and throughout which applications - to allow auditing, reporting, and evaluation primary to meeting the calls for of legislated regulations and inside/external auditors.

The information features provided by using the EDI platform can also be accessed via other accessories in the SOA by way of internet capabilities protocols reminiscent of cleaning soap, messaging programs such as MQSeries or JMS, and programmatic tactics akin to JDBC and ODBC.

the place do we go from here?

SOA can also still be in its early phases, but the time is right to take a hard analyze information-connected company aims and IT substances for your provider-oriented architecture blueprint. One key to success is an iterative strategy that focuses first on centered initiatives with quantifiable company cost which are fairly easy to implement. SOA, in any case, is a rely of structure, and no company goes to rearchitect its methods in a single day.

by way of imposing a knowledge integration platform at the floor degree, that you may equipped your IT programs to utterly leverage that most beneficial of enterprise assets - statistics - with out re-engineering, hand-coding, and having to worry about records nice problems down the line. Plus, you're going to by no means agonize about receiving an extra response that says, "You forgot the information."

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Advanced SOA Design

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Microservices and software oriented architecture (SOA) are two componentized architectures for software development. As the cloud computing era has gained steam, the more highly granular microservices architecture (MSA) has evolved from the earlier SOA. Yet both approaches remain widely used. Where SOA is enterprise-focused, microservices is application-focused.

First we'll look at each of these technologies, then we'll compare and contrasts the two.

Understanding Service Oriented Architecture

A SOA is a collection of services that use a messaging middleware component for communications between services. The middleware layer also supports interoperability of multiple protocols. Services can range in size all the way up to subsystems used enterprise-wide.

SOA is generally regarded as the best choice for integrating disparate systems in a large mixed environment running multiple OS, such as Linux and Windows.

Understanding Microservices

In microservices, on the other hand, each application is structured as a collection of small services, modeled around a business domain. This architecture uses an application programming interface (API) layer instead of middleware, and protocols are lightweight. Microservices best practices requires developers to build with the API in the forefront of the design.

Microservices work better for building small, well partitioned web-based systems which give considerable control to the developer. Each service is designed to fulfill a specific purpose -- such as a web service for activating an order or providing shopping cart services -- and to excel in delivering on that purpose.

Comparing Microservices vs. SOA

SOA and microservices both ease software development by replacing older monolithic structures with more easily manageable modular components. However, SOA and MSA differ markedly along lines that include general architecture, service characteristics, approaches to component sharing, database support, and more.

Here are some key differences:

General Architecture

SOA defines both a provider layer, comprising all services within the system, and a consumer layer, or the point at which consumers such as human users or other services interact with the system. The Enterprise Service Bus (ESB) allows for various point-to-point connections between service providers and service consumers. Services can be created by multiple development teams, but each team needs to be aware of the common communication mechanism.

In MSA, on the other hand, small, independent processes communicate with each other inside highly granual and agile applications. Each service is independently deployable, meaning that it can be shut down when not in use without impacting the entire system. MSA also makes it easier and faster to develop new versions of existing services, suiting this architecture well to DevOps best practices. Also, services can be scaled independently, depending on load requirements.

Service Characteristics

SOA and microservices both rely on services as their main component, yet the two architectures differ considerably around service characteristics.

SOA defines four basic service types:

SOA's functional services, also referred to as business services, are coarse-grained services used for defining core business operations. Functional services are represented through protocols such as eXtensible Markup Language (XML) and Business Process Execution Language (BPEL).

Enterprise services implement the functionality defined by business services, using both application services and infrastructure services to fulfill business requests.

Application services are fine-grained services used only within the context of specific applications. Services can be invoked through a dedicated user interface (UI).

Infrastructure services implement non-functional tasks like logging, authentication, auditing and security. These services can be invoked from either application services or enterprise services.

In contrast, MSA defines only two basic service types:

In MSA, functional services support specific business operations. These services are accessed externally and are not shared with other services.

As in SOA, MSA's infrastructure services are used to support tasks such as logging, auditing, and security. MSA’s infrastructure services, though, are not shared with other services, and are only accessible internally.

Middleware vs. APIs

SOA's middleware provides many capabilities absent from the API's used for communications between service providers and consumers in MSA.

Advantages of the middleware layer include protocol transformation, message enhancement, and mediation and routing. Because MSA doesn't support middleware, and MSA applications are so small and specifically purposed, SOA is generally regarded as the best architecture for large and complex enterprise systems.

Database Support

In SOA, all services use the same underlying database. Services typically support traditional relational databases.

MSA is also more agile and flexible in this way. A database can either be dedicated to a specific microservice or shared among multiple microservices. MSAs are also more likely to use newer nonrelational databases. Unlike relational databases, which only support structured data, nonrelational databases also support semi-structured data such as emails and XML documents and unstructured data such as Microsoft Windows documents, web pages, social media messages, and video files.

Component Sharing

SOA is designed to promote business functionality reuse by enhancing component sharing. In fact, component sharing is the main role of SOA's enterprise services. Services are often implemented as complete subsystems. However, because SOA uses multiple components to fulfill business requests, SOA services can be less efficient than microservices.

Microservices, on the other hand, minimizes component sharing through “bounded context." A component and its data are coupled as a single unit with minimal dependencies. An application is required to access a persistent data store via a service implementation-provided API.

Contract Decoupling

A major tenet of SOA is contract decoupling, which provides the highest degree of decoupling between service provider and consumer.

MSA, however, doesn't support contract decoupling.

Containers

Containers and microservices are a natural match. Containers such as Dockers and Linux Containers work quite well with microservices architectures but are used less frequently in SOA.

By encapsulating a lightweight runtime environment for applications, containers provide a consistent software environment as a microservice application moves through the continuous development, testing, and deployment cycles of DevOps. Containers can be run on both virtual machines (VMs) and physical machines, and with high server utilization rates.

Web Services

SOA and MSA both provide support for Web services. In fact, some but not all MSA microservices can be characterized as Web services.

Like Web services, microservices are agnostic to programming languages such as Java, Perl, Ruby, and C++.

Remote Access Protocols

SOA architectures typically use Simple Object Access Protocol (SOAP) and messaging protocols such as Microsoft Message Queuing (MSMQ) and the open standard Advanced Message Queing Protocol (AMQP) as their main remote access protocols. However, Representation State Transfer (REST) is sometimes used with SOA.

MSA generally uses the more streamlined REST API, together with AMQP messaging, for remote access.

Fault Tolerance

SOA's ESB can present a single point of failure (SPOF) for the entire system. If one service slows down, the the ESB can become overwhelmed by requests for that service.

MSA is more fault tolerant. For example, a memory leak is one microservice will only impact that specific microservice. Other microservices will be able to keep on handling requests.

Threading

SOA is multi-threaded, with more overheads to handle inputs/outputs (IOs).

MSA is single-threaded. However, microservice architectures typically include an event loop for handling I/Os.

Systematic changes

In SOA, a systematic change requires modifying the entire system.

In MSA, a systematic change can be accomplished by creating a new service.

Microservices and SOA Related Terms

API: An API facilitates software development by providing a set of functions and procedures for accessing data or features of another application, an OS (operating system), or other software services.

Web service: A Web service is an API which uses a standardized way of providing interoperability between applications for clients and servers over the web. A Web service communicates over Hypertext Transport Protocol (HTTP) using technologies which can include REST, SOAP, XML, Web Service Definition Layer (WSDL), and Universal Description, Description, and Integration (UDDI).

REST API: A REST API is an API which follows the rules of REST, an architectural style now being used to replace older architectures such as SOAP as a simpler, faster method of accessing web services. The REST API uses Hypertext Transfer Protocol (HTTP) requests to indicate desired actions on the web. The main rules of REST are the four rules of uniform interface for clients and servers: offering access through resources, representing resources through representations, exchanging self-descriptive messages, and connecting resources through links.

Middleware: Middleware is a layer of software residing outside of the OS providing services to applications which can't be obtained through the kernel. It supplies uniform, high-level interfaces for building applications which can run interoperably across diverse systems and a set of common services for improving collaboration between applications. Used in SOA but not MSA, middleware hides the heterogeneity of OS, hardware, and protocols in addition to the complexities of distributed applications.

ForaCare Suisse AG announced a service-oriented partnership with B. Braun with initial plans to launch a new glucose monitoring system offering. The FORA(R) Advanced pro GD40 Multi-Functional Monitoring System provides a complete blood glucose testing and data solution. The companies plan to offer additional services together including telehealth and self-care. To learn more about the current and future product offerings, visit ForaCare at upcoming Arab Health conference [January 28 - 31, 2019, Dubai DWTC] in the Swiss Pavilion.

The FORA(R) Advanced pro GD40 blood glucose monitor integrates seamlessly to support a health monitoring system with a diabetes diary smartphone via the iFORA app, and an online infographic system via FORA Telehealth. The total system supported by B. Braun Diabetes Care consolidates all data allowing healthcare professionals to access on any internet-connected device.

"ForaCare is pleased to partner with B. Braun to offer superior tools for health management that provide advanced technology solutions for patients," said Ty-Minh Tan, CEO of ForaCare Suisse AG. "Patients need to monitor their health whenever and wherever they are with access to their data in real time. This new complete product offering is one big step in helping patients do so in a sophisticated, yet simple way."

FORA(R) Advanced pro GD40 is clinically validated by AMCR Institute in the U.S. and is proven to meet accuracy and precision requirements of the ISO 15197:2013 and EN ISO 15197:2015.

FORA(R) Telehealth System is a cross-platform system for secure electronic health record (EHR) management and is compatible with most browsers. Ease of use and transmission of data allows for better chronic disease management while saving patients time and money and improving the efficiency and effectiveness of medical care providers.

ForaCare offers free self-care applications (apps) for users. FORA(R) HM is one app designed for multi-parameter health data management that is easy to use and easy to pair with devices. Data from measurements is automatically transmitted to a mobile device and is available for iOS and Android systems. See Apple Store / Google Play for all ForaCare apps.

About FORA(R) devices:

ForaCare Suisse AG is an established supplier of innovative and secure health care products. We distribute to the international healthcare market and have trusted bonds with varied clients. ForaCare is committed to improving the quality of life and focuses on continuous improvement and innovation in providing accurate and practical healthcare solutions in diabetes and hypertension care for home and professional use. All ForaCare monitoring devices are validated as highly accurate in the industry and provide superior quality directly to consumers.

ForaCare devices comply with the latest ISO standards and have completed third party validations.

B. Braun is one of the world's leading providers and manufacturers of healthcare solutions today. Every service that B. Braun provides incorporates the entirety of their knowledge and skills, the company's deep understanding of users' needs, and extensive expertise since 1839. With its constantly growing portfolio of effective medical care solutions, B. Braun makes a substantial contribution towards protecting and improving people's health.

Quality means far more than simply reducing defects. Fundamentally, quality means building something that meets the requirements of its users, now and into the future. Being defect-free is a necessary, but by no means sufficient criterion for a quality product. Software quality is no different. While many software quality assurance efforts focus on eliminating bugs, the bug-hunting process is only the starting point for software quality.

The real challenge with software quality, as with any other quality effort, is in guaranteeing that the software meets the requirements set out for it. In an ideal world, quality assurance (QA) personnel would simply take the requirements document, use it to build a test plan, and run tests against that plan. Once the project passes all the tests, it's ready to go live. But in the real world, requirements continue to evolve, both during projects as well as once the projects are complete. And there's nothing worse than evolving requirements for throwing a wrench in the most carefully laid QA plans.

Environments of continually changing business requirements, of course, are the perfect breeding ground for Service-Oriented Architecture (SOA). SOA leverages a metadata-driven service abstraction to provide greater power and flexibility to business users, with the clear purpose of enabling IT to respond to changing requirements in an agile manner. This core agility benefit of SOA collapses like a house of cards, however, if the services or the applications that consume and compose them are of poor quality.

The increasing sophistication of SOA testing tools

As companies embark on their SOA initiatives, therefore, quality in the face of change should be a top priority. More often than not, however, quality receives short shrift in many such projects, especially when an organization is taking a bottom-up approach to SOA that begins by building Web services interfaces to their existing legacy systems. For such organizations, their SOA project is light on architecture and heavy on software development, as they hammer out the details of their service interfaces. As a result, they typically limit their QA efforts to the testing of those service interfaces.

Web services testing, after all, is the most basic capability of SOA testing tools. In fact, many tools on the market that claim to be SOA testing tools are really little more than Web services testing tools that enable companies to put their Web services (as well as service consumers) through their paces in an effort to reduce defects and ensure that the services meet the initial requirements set out for them. Many such tools are updated versions of Web page testing tools that generalize the Web interface, basically considering a Web service to be a Web page without the user interface. While such Web services testing tools serve an important role, they are insufficient for providing the QA required for true SOA implementations.

More sophisticated SOA testing tools take into account the fact that services are more than standards-based interfaces -- rather, they're abstractions of capabilities from multiple, disparate sources. Such tools approach the SOA quality problem as an integration testing challenge, and it's not surprising that many of such tools currently on the market have evolved from integration testing products. These tools simulate service requests and other events as they wind their way through the service interface and underlying middleware, applications, and data sources, uncovering subtle defects that arise from the complex interactions among the various moving parts in today's distributed systems. While such integration testing is a critical part of any SOA quality regimen, it is fundamentally a design time activity, as is Web service testing. Neither approach provides much value after the services go live.

The most sophisticated of SOA quality tools take into account the full service lifecycle -- design time, runtime, and change time. No longer is it sufficient to run a project through acceptance testing immediately before launching it into production, because SOA implementations are by their very nature continually changing. Instead, SOA quality must be an ongoing process that continually confirms that the existing configuration of services meets the business requirements du jour.

The tooling necessary to implement such advanced quality measures must focus on testing SOA metadata, because metadata are at the core of any SOA implementation's ability to respond dynamically to changing business requirements. The changes that occur during change time are metadata changes, including Service-Oriented Business Application (SOBA) configuration changes, policy changes, and service contract changes. Today's most advanced SOA quality tools must provide for the testing of changes to these metadata in a production environment.

SOA quality best practices

Simply increasing the sophistication of your testing tools, however, doesn't mean your SOA will be of any higher quality. In fact, if a QA team treats a SOA project as though it were a traditional software project, its quality will likely suffer, because traditional projects don't have the business requirement of agility -- what ZapThink calls the "meta-requirement" for SOA, namely the ability to support changing requirements. Testing for today's requirements without testing for this meta-requirement leaves an enormous hole in the QA process.

To address the meta-requirement, SOA inherits key best practices from the Agile Movement, including iterative, test-first development. In this approach, architects break up a SOA implementation into individual iterations or "mini-projects" with specific, narrow scope. Starting with the contract and policy metadata associated with each iteration, the project team creates a test plan that drives the development work necessary to implement the services. The team then continues to work on the iteration until all the tests in the test plan pass. The final step is to re-evaluate the remaining requirements (which may have changed during the previous iteration) to plan the next iteration, and repeat as necessary.

Perhaps the greatest SOA quality challenge, however, involves maintaining quality throughout the service lifecycle, especially once the SOA implementation is in place. The problem is, the more mature the SOA implementation is -- that is, the better the service abstraction maintains an agile separation between business users and the underlying IT capabilities -- the more impractical traditional QA approaches are likely to be. In many of today's IT shops, there are separate, identical QA and production environments. QA personnel can load any new or changed code into the QA environment, and test it to their heart's content before giving it the thumbs up for promotion of changes to the production environment. In a mature SOA environment, its practically impossible to maintain a useful duplicate of the running system, because services, configurations, and associated metadata continually change. As a result, maintaining a parallel QA environment rapidly becomes an exercise in futility.

The solution to this quality conundrum is to test new and changed services and service configurations in the live, production environment. The only way to ensure that all aspects of the new configuration continues to meet the requirements set out for it is to run test messages through production services. Now, saying you should test in production is tantamount to proposing rewiring your house with the power on -- it's possible, but you have to be especially careful, know what you're doing, and plan ahead. In the case of SOA, planning ahead means that services (as well as service consumers) must be able to support a testing mode.

To illustrate how service testing in production should work, let's step through an example of a putting a service modification from version 1 to version 2 into production:

While version 1 is running, put version 2 into production in test mode

.

Send test messages through version 2 from the test harness (a testing tool configured for this purpose), or ideally, from production service consumers that are placed into test mode themselves.

Once the tests pass, set the mode of version 2 to production mode (either manually or automatically).

Notify the service registry that any service requests that support version 2's contract are now to go to version 2.

Set the mode of version 1 to deprecated, if your deprecation policy calls for this step.

If a problem with version 2 crops up, revert to version 1 (again, if your policy calls for it). Fix version 2 and repeat this process.

Take version 1 out of production as per your deprecation policy.

There are a few important notes about running the QA process through a production system. First, the QA process is policy-driven. As a result, the testing process is itself service-oriented, which goes a long way to satisfying the meta-requirement of SOA. Second, it's resilient. Even if a fully tested service still fails in production, the QA process responds in a way that minimizes the business impact -- and thus maximizes the loose coupling of the services. But most importantly, SOA quality requires planning ahead. Architects must plan for test modes and deprecation policy support as an essential part of designing services.

The ZapThink take

The "planning ahead" step on the ZapThink SOA Roadmap appears as the Build a Governance Framework milestone. Before you implement any services as part of a SOA project, the governance framework should include details about the policies your services will need to support down the road, including deprecation and testing policies. (ZapThink covered service versioning and deprecation in our "Grappling with SOA Change and Version Management" ZapFlash.) If you haven't built quality into your architecture, then it doesn't matter how sophisticated your SOA testing tools are. As with so many other aspects of SOA, the tools don't give you the best practices. Instead, the best practices of SOA help you get the most out of your tools.

In fact, ZapThink frequently talks to companies who haven't planned ahead sufficiently, and they now face a quandary: how to version their services without breaking service consumers? In most such cases, there's no easy answer. They simply have to rework their SOA and start again, chalking their early adopter efforts up to experience. That's fine for those early adopters who were blazing the SOA best practices trail. Organizations who are only now framing their SOA plans for the first time, however, have no excuse for not building quality SOA the first time.